Ron Mitchell

Summary A recent wave of enterprise deployments shows businesses moving beyond basic AI assistants to autonomous AI agents that handle specific, repeatable tasks — from qualifying leads and scheduling demos to generating weekly pipeline reports. These agents combine CRM access, automation workflows, and natural language to act like junior team members: fast, consistent, and always-on. […]

What’s happening – Businesses are increasingly adopting AI agents — autonomous, task-focused AI that can read your systems, make decisions, and take actions (e.g., qualify leads, schedule demos, generate reports). – These agents are moving beyond one-off chatbots to end-to-end workflow automation: they connect to CRMs, calendars, email, and BI tools to complete multi-step processes.

Story summary Autonomous AI agents — software that can carry out multi‑step tasks on its own — moved from demos to real business use in 2024–25. Vendors (big cloud providers and niche startups) now offer agent toolchains that plug into CRMs, calendars, email, and internal data. That means AI can prospect, schedule, draft outreach, update

Quick update: AI agents (think custom “GPTs” and task-oriented assistants) have shifted from experiments to practical business tools. Companies are now using them to draft personalized sales outreach, automate routine reports, and run multi-step operational tasks — but many pilots stall on integration, data access, and governance. Why this matters for your business – Faster,

How AI agents are reshaping sales — and how leaders should adopt them Summary (what happened) Over the past year we’ve moved from “AI that suggests” to “AI that acts.” New enterprise-ready AI agents — tools that can autonomously run workflows, update CRMs, send outreach, and pull reports — are being rolled into sales and

Quick summary AI agents — autonomous, multi-step AI assistants that can research, draft, act, and follow up — are no longer just demos. Businesses are starting to use them inside sales workflows, reporting pipelines, and back-office automation to handle tasks that used to require many hand-offs. That shift is making routine work faster, reducing errors,

Quick summary AI agents — autonomous, multi-step AI assistants that can connect to apps and act on your behalf — have moved from experiments to practical tools for businesses. Today’s agents can pull CRM and ERP data, run analyses, draft messages, schedule tasks, and even trigger downstream workflows without constant human prompts. Why this matters

Summary AI “agents” — small, task-focused systems that can pull data, take actions, and talk to other apps — are becoming a practical tool for businesses. Instead of one-off chat answers, modern agents can retrieve CRM records, generate pipeline reports, draft personalized outreach, and trigger workflows automatically. Companies that have piloted agents report faster reporting

The story in plain terms AI agents — software that can plan, act, and complete tasks with minimal human prompting — are becoming practical for real business use. Advances in connectors, retrieval-augmented generation (RAG), and monitoring tools mean these agents can safely access systems (CRM, calendar, ERP), pull the right data, and take actions like

Summary of the story – Over the last year the big shift has been clear: AI is moving from one-off chat tools into autonomous, connected agents that can act inside business systems (CRMs, ERPs, BI tools) and carry out end-to-end tasks — from qualifying leads to producing weekly sales reports. – These agents combine language